%0 Generic
%A Chen, Jiaxin
%A Wei, Kai
%D 2024
%T Data underlying the publication: Mining extremal property from a large 2D truss metamaterial database
%U 
%R 10.4121/03961539-129b-43b6-9c55-cfd3f5d40a8d.v2
%K Extreme elasticity
%K Extreme Poisson’s ratio
%K 2D truss metamaterials
%K Metamaterial database
%K Pentamode
%K Mechanical isomerism
%X <p>Our project aims to explore the design space of truss metamaterials. Truss metamaterials attract considerable interest for their exceptional performance and prospects for engineering applications.&nbsp;These databases are generated by a generic method under potential publication. These databases comprise over 1.8 million distinctive entries, especially including numerous unprecedented metamaterials. These databases will strongly advance the emerging data-driven design strategies.&nbsp;</p><p>&nbsp;</p><p><strong>Dataset S1 (.csv format).</strong> Entire architecture database of the designed metamaterials, including coordinates of flattened node-sets and elements of flattened adjacency matrices within building blocks.</p><p><strong>SubDataset for archiectures in eleven metamaterial groups ("group name"-features.csv).</strong> Eleven separated databases correspond to eleven metamaterial groups for convenient access.</p><p>&nbsp;</p><p><strong>Dataset S2 (.csv format).</strong> Entire mechanical property database including Young’s moduli, Poisson’s ratios, shear modulus and isotropy index.</p><p><strong>SubDataset for mechanical properties</strong><strong style="background-color: rgb(255, 250, 234);"> in eleven metamaterial groups </strong><strong>("group name"-mechanical property.csv).</strong> Eleven separated databases correspond to eleven metamaterial groups for convenient access.</p><p>&nbsp;</p><p><strong>The dataset is intended for reviews of potential publications and should not be cited or used before public publication.</strong></p>
%I 4TU.ResearchData